Genetic Algorithms and Genetic Programming
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure iden...
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| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Taylor & Francis
2025
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| Subjects: | |
| Online Access: | ONIX_20250512_9781420011326_6 |
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| _version_ | 1869518165257486336 |
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| author | Affenzeller, Michael Wagner, Stefan Winkler, Stephan Beham, Andreas |
| author_browse | Affenzeller, Michael Beham, Andreas Wagner, Stefan Winkler, Stephan |
| author_facet | Affenzeller, Michael Wagner, Stefan Winkler, Stephan Beham, Andreas |
| author_sort | Affenzeller, Michael |
| collection | Directory of Open Access Books |
| description | Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al |
| format | Online |
| id | doab-20.500.12854ir-159255 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1592552025-05-17T05:07:33Z Genetic Algorithms and Genetic Programming Affenzeller, Michael Wagner, Stefan Winkler, Stephan Beham, Andreas Michael Affenzeller genetic algorithms genetic programming GA Theory GP Schema theories time series analysis population diversity Heuristic lab Crossover Operators Standard GA Capacitated Vehicle Routing Problem Building Block Hypothesis Global Optimal Solution Schema Theorem Combinatorial Optimization Problems GP Population GP Test Data Set Island Model GA Application Parallel GAs Roc Curve Solution Candidates VRP Sequential GA Melanoma Data Set Parent Tours M2 M1 Linear Rank Selection thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al 2025-05-13T04:11:40Z 2025-05-13T04:11:40Z 2025-05-12T09:31:48Z 2009 book ONIX_20250512_9781420011326_6 https://library.oapen.org/handle/20.500.12657/101465 9781420011326 9781584886297 9781138114272 9780429141973 9781040044254 https://directory.doabooks.org/handle/20.500.12854/159255 eng Numerical Insights open access image/jpeg image/jpeg Attribution-NonCommercial 4.0 International Attribution-NonCommercial 4.0 International https://library.oapen.org/bitstream/20.500.12657/101465/1/9781420011326.pdf https://library.oapen.org/bitstream/20.500.12657/101465/1/9781420011326.pdf Taylor & Francis Chapman and Hall/CRC 10.1201/9781420011326 10.1201/9781420011326 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 b5330eea-5b68-4d3e-8fe5-c6b3c1865c2a 9781420011326 9781584886297 9781138114272 9780429141973 9781040044254 Chapman and Hall/CRC 379 [...] open access |
| spellingShingle | Michael Affenzeller genetic algorithms genetic programming GA Theory GP Schema theories time series analysis population diversity Heuristic lab Crossover Operators Standard GA Capacitated Vehicle Routing Problem Building Block Hypothesis Global Optimal Solution Schema Theorem Combinatorial Optimization Problems GP Population GP Test Data Set Island Model GA Application Parallel GAs Roc Curve Solution Candidates VRP Sequential GA Melanoma Data Set Parent Tours M2 M1 Linear Rank Selection thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining Affenzeller, Michael Wagner, Stefan Winkler, Stephan Beham, Andreas Genetic Algorithms and Genetic Programming |
| title | Genetic Algorithms and Genetic Programming |
| title_full | Genetic Algorithms and Genetic Programming |
| title_fullStr | Genetic Algorithms and Genetic Programming |
| title_full_unstemmed | Genetic Algorithms and Genetic Programming |
| title_short | Genetic Algorithms and Genetic Programming |
| title_sort | genetic algorithms and genetic programming |
| topic | Michael Affenzeller genetic algorithms genetic programming GA Theory GP Schema theories time series analysis population diversity Heuristic lab Crossover Operators Standard GA Capacitated Vehicle Routing Problem Building Block Hypothesis Global Optimal Solution Schema Theorem Combinatorial Optimization Problems GP Population GP Test Data Set Island Model GA Application Parallel GAs Roc Curve Solution Candidates VRP Sequential GA Melanoma Data Set Parent Tours M2 M1 Linear Rank Selection thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining |
| topic_facet | Michael Affenzeller genetic algorithms genetic programming GA Theory GP Schema theories time series analysis population diversity Heuristic lab Crossover Operators Standard GA Capacitated Vehicle Routing Problem Building Block Hypothesis Global Optimal Solution Schema Theorem Combinatorial Optimization Problems GP Population GP Test Data Set Island Model GA Application Parallel GAs Roc Curve Solution Candidates VRP Sequential GA Melanoma Data Set Parent Tours M2 M1 Linear Rank Selection thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining |
| url | ONIX_20250512_9781420011326_6 |
| work_keys_str_mv | AT affenzellermichael geneticalgorithmsandgeneticprogramming AT wagnerstefan geneticalgorithmsandgeneticprogramming AT winklerstephan geneticalgorithmsandgeneticprogramming AT behamandreas geneticalgorithmsandgeneticprogramming |